scholarly journals Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968

2018 ◽  
Vol 7 ◽  
pp. 88-105
Author(s):  
Luciana Quaranta

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance, early life exposures, and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. The results of this study show that in five rural parishes in Scania, the southernmost province of Sweden, during the years 1740-1968 infant mortality was transmitted across generations. Children whose maternal grandmothers experienced two or more infant deaths had higher risks of dying in infancy. The results remained consistent when restricting the sample only to cases where the grandmother had been observed for her entire reproductive history or when controlling for socioeconomic status. When running sex specific models, significant effects of the number of infant deaths of the grandmother were observed for girls but not for boys.

2018 ◽  
Vol 7 ◽  
pp. 11-27
Author(s):  
Luciana Quaranta

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. One way of expanding the knowledge on intergenerational transfers in infant mortality is by conducting comparable studies across different populations. The Intermediate Data Structure (IDS) was developed as a strategy aimed at simplifying the collecting, storing and sharing of historical demographic data. The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. The programs use information stored in the IDS tables and after elaborating such information produce Excel files with results. They can be used with any longitudinal database constructed from church books, civil registers, or population registers.


2018 ◽  
Vol 7 ◽  
pp. 1-10
Author(s):  
Luciana Quaranta ◽  
Hilde Leikny Sommerseth

It has previously been shown that infant mortality clusters in a subset of families, a phenomenon which was observed in historical populations as well as contemporary developing countries. A transmission of death clustering across generations has also been shown in Belgium, but it is unknown whether such effects are specific to the studied context or are also found in other areas. The current article introduces a special issue devoted to analysing intergenerational transmissions of infant mortality across the maternal line in Belgium, the Netherlands, northern and southern Sweden, and Norway. Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. These works are the first set of studies using the IDS on several databases for comparative purposes. Consistent results across the studied contexts were shown: transfers of infant mortality across the maternal line were seen in all five areas. In addition, the works have shown that there are large advantages of adopting the IDS for historical demographic research. The structure has in fact allowed researchers to conduct studies which were fully comparable, transparent and replicable.


2018 ◽  
Vol 7 ◽  
pp. 106-122
Author(s):  
Göran Broström ◽  
Sören Edvinsson ◽  
Elisabeth Engberg

This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to evaluate and compare different models for statistical analysis of intergenerational transfers. The analysis is based on a cohort of mothers born 1826-1854, whose experiences of infant mortality are compared to the ones of the previous generation, the grandmothers. Data are collected from Swedish parish records, available in the database POPUM at the Demographic Data Base in Umeå. The analysis shows a clear association between infant mortality among mothers and grandmothers. The probability of an infant death for a woman is increased if her mother also had experienced an infant death. Having tested for different approaches of analysis, we found that simple models with few restrictive assumptions gave similar results as more complicated models. Since it is easy to feel confident in the models with the weakest assumptions, we argue that such models are preferred for this type of analysis.


1985 ◽  
Vol 17 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Michael K. Miller ◽  
C. Shannon Stokes

SummaryThe paper examines the relationship between infant mortality and a complex measure of socioeconomic status for evidence of diminution. In data on counties in the United States with a minimum of 20 infant deaths over the 5-year period 1971–75, no evidence of a declining relationship between socioeconomic status and infant mortality was found. Both level of community affluence and racial composition of the population exerted direct effects on levels of infant deaths. In addition, both socioeconomic status and racial composition exhibited indirect effects which operated through teenage childbearing. When total infant mortality was subdivided, teenage fertility serves as a mediating variable in the link between socioeconomic status and neonatal mortality, but not for the postneonatal components. Given the nearly equivalent total effect of socioeconomic status on infant mortality, it is concluded that the classic division into neonatal (supposedly a function of biological and genetic agents) and postneonatal (traditionally attributed to social and environmental agents), may be too crude to allow the contemporary effects of the socioenvironmental milieu to be evaluated effectively.


2007 ◽  
Vol 22 (3) ◽  
pp. 373-406 ◽  
Author(s):  
CHRISTER LUNDH

ABSTRACTRemarriage was common in Sweden in pre-industrial times, especially among men, although over the nineteenth century the number of remarriages declined. This article analyses remarriages in southern Sweden between 1766 and 1894. Data are derived from family reconstitutions in five rural parishes in southern Sweden, which makes it possible to follow individual widows and widowers from the year of the death of the spouse. The focus here is on the influence of individual characteristics, household composition, food prices and time period on an individual widow's or widower's probability of remarriage. For some variables the effect was quite general, for example the negative effect on remarriage of the individual's age and the decrease in the likelihood of remarriage in the nineteenth century. The influence of other variables was not this straightforward. Socioeconomic status interacted with all variables, especially gender, food prices and the presence of minor or adult children in the household.


2018 ◽  
Vol 7 ◽  
pp. 69-87 ◽  
Author(s):  
Hilde Leikny Sommerseth

This paper is one of a series of five studying the intergenerational transfer of infant mortality down the maternal line. All five studies share the same theoretical and methodological design, and use data derived from a standard database format: the Intermediate Data Structure (IDS). The data for the research reported in this paper were derived from a longitudinal dataset covering the 19th and 20th century population of the province of Troms in Northern Norway. Our results suggest that there was an element of intergenerational transmission in women’s risk of experiencing an infant death; the children of a woman whose mother had had a high number of infant deaths also had a greater risk of dying before their first birthday. The risk of an infant death occurring among the children of daughters from such ‘high risk’ families was at least 30 per cent higher than that amongst infants born to the daughters of mothers who had experienced zero infant deaths.


2018 ◽  
Vol 7 ◽  
pp. 28-46
Author(s):  
Ingrid K. Van Dijk ◽  
Kees Mandemakers

The burden of infant mortality is not shared equally by all families, but clusters in high risk families. As yet, it remains unclear why some families experience more infant deaths than other families. Earlier research has shown that the risk of early death among infants may at least partially be transmitted from grandmothers to mothers. In this paper, we focus on the intergenerational transmission of mortality clustering in the Netherlands in the province of Zeeland between 1833 and 1912, using LINKS Zeeland, a dataset containing family reconstitutions based on civil certificates of birth, marriage and death. We assess whether intergenerational transmission of mortality clustering occurred in Zeeland, and if so, whether it can be explained on the basis of the demographic characteristics of the families in which the infants were born. In addition, we explore the opportunities for comparative research using the Intermediate Data Structure (IDS). We find that mortality clustering is indeed transmitted from grandmothers to mothers, and that the socioeconomic status of the family, the survival of mothers and fathers, and the demographic characteristics of the family affected infant survival. However, they explain the heterogeneity in infant mortality at the level of the mother only partially.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandre Bugelli ◽  
Roxane Borgès Da Silva ◽  
Ladislau Dowbor ◽  
Claude Sicotte

Abstract Background Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies. Method A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates. Results The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths. Conclusion The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.


2021 ◽  
Vol 58 (2) ◽  
pp. 249-277
Author(s):  
Ranjana Saha

This article focuses on the Health and Child Welfare Exhibition held in colonial Calcutta in 1920. Despite a few scholarly references, however, there has been no detailed study till date. The vicereines of India launched child welfare exhibitions motivated by the transnational exhibitory baby health week propaganda initiative to curb infant mortality. These exhibitions were also locally organised and collaborative in nature with an urgent nationalist appeal. The study critically engages with select Exhibition lectures about so-called ‘clean’ midwifery and ‘scientific’ motherhood given by famous Bengali medical practitioners and other prominent professionals, predominantly men and a few women. These drew intimate sociobiological connections between the problems of ‘dirty’ midwifery, ritual pollution, improper confinement, insanitary childbirth, insufficient lactation and the excessive maternal and infant deaths in Calcutta. The central argument is that these public lectures primarily focused on the very making of the ‘ideal’ Indian nursing mother, often imagined as the traditional yet modern bhadramahila mother figure, for rejuvenating community and national health and vigour. Correspondingly, it highlights the transnational resonance of famous Frederic Truby King’s ‘mothercraft’ popularised as childcare by the clock. The paper is, therefore, guided by the twin purposes of filling the gap in our knowledge about child welfare exhibitions in colonial India and illuminating extant scholarship on the global infant welfare movement.


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